Surveys

A comprehensive survey of AI agents in healthcare.

OBJECTIVE: This survey aims to systematically map the rapidly evolving landscape of AI agents in healthcare. It addresses the critical need to adapt general-purpose agentic frameworks characterized by autonomy, planning, and tool use to the high-stakes, safety-critical constraints of medical decision-making and patient care. METHODS: We conducted a comprehensive review of over 200 recent studies, ...

Digital readiness in nursing education: eHealth literacy, AI attitudes, and associated factors among undergraduate students.

BACKGROUND: Digital readiness has become a critical competency for future nurses in the evolving landscape of healthcare. Two essential components of this readiness-eHealth literacy and attitudes toward artificial intelligence (AI)-have gained prominence in nursing education. However, limited evidence exists regarding their interrelationship and associated demographic and behavioral factors, parti...

NeuroBACE-ML: A reliability-aware screening framework for high-throughput prioritization of potent BACE1 inhibitors.

Beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) is a key enzyme in amyloid-β generation and remains an important target in Alzheimer's d...

Evaluating Artificial Intelligence-generated Patient Education Guides on Cardiomyopathies: A Cross-sectional Comparison of ChatGPT and DeepSeek Artificial Intelligence.

INTRODUCTION: Patient education is essential in the management of cardiomyopathies, including dilated, restrictive, and hypertrophic subtypes, which o...

Evaluation of AI-Generated Surgical Decision Aids for Pelvic Floor Disorders.

IMPORTANCE: Decision aid tools are well-utilized resources in shared decision making for the treatment of pelvic floor disorders. With the improvement...

Quality of Clinical Notes Created by Ambient Listening Generative AI: Pragmatic Prospective Pilot Study.

BACKGROUND: Physicians routinely document specifics of patient encounters in clinic visit notes, a critical but potentially time-consuming task. Ambie...

Assessment of AI-Generated Patient Education Materials for Bladder Training and Pelvic Floor Muscle Therapy: Comparison with an International Society Leaflet.

INTRODUCTION AND HYPOTHESIS: High-quality patient education materials are essential in urogynecology. We hypothesized that patient handouts generated ...

Comparing regular expression and machine learning approaches to predict immigrant status from primary care electronic medical record data in Ontario, Canada.

New immigrants often face barriers when navigating the healthcare system, which can create unmet healthcare needs and contribute to health inequities....

Diplomatic roles of regional coordinators for WHO Member States.

OBJECTIVE: To examine the coordination functions, decision-making processes and consensus-building strategies of World Health Organization (WHO) regio...

Development and validation of the Oxford Attitudes to Artificial Intelligence in Medicine Scale.

OBJECTIVE: Public willingness to accept medical artificial intelligence (AI) tools affect the potential real-world impact of these evolving technologi...

Simplified and accurate approach to sleep disorder prediction using body composition metrics: a development and validation study.

Predicting the risk of sleep disorders such as insomnia, obstructive sleep apnea (OSA), and comorbid insomnia and sleep apnea (COMISA) typically requi...

Japanese sports dietitians' evidence-based practice implementation is associated with academic degree and English reading ability: A cross-sectional survey.

BackgroundSport Nutrition is a fast-growing academic subject. Language and/or insufficient training will be barriers to evidence-based practice (EBP) ...

Acceptance of Artificial Intelligence in Clinical Practice Among Chinese Physicians: Nationwide Cross-Sectional Survey Using Extended Unified Theory of Acceptance and Use of Technology and Explainable Machine Learning.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming clinical practice, yet empirical evidence on Chinese physicians' acceptance of AI med...

Likelihood-free parameter inference for spatiotemporal stochastic biological models using neural posterior estimation.

Cell migration is a key biological process underlying wound healing, tissue development, and cancer metastasis, yet calibrating mathematical models of...

Radiomics Applicability Domain Analysis Classification Framework (RADAN-CF): A method for evaluating prediction reliability in radiomics.

BACKGROUND AND OBJECTIVE: Radiomics-based machine learning models hold promise for clinical decision support, yet their deployment may be limited by t...

Assessing traits in bread using image analysis and machine learning.

Food quality depends on both consumer expectations and industry standards. Sensory assessment is one dimension of food quality. The current method of ...

Ethical and Legal Concerns of Deepfake Technology in Biomedical Imaging: A Comprehensive Survey.

Deepfakes have posed severe challenges to healthcare systems as fake medical images and videos can be utilized to disseminate fake information about a...

Consumer Understanding of Skin Concerns With an AI-Powered Informational Tool.

IMPORTANCE: The potential association of artificial intelligence (AI)-powered informational tools with consumer health needs outcomes is not well unde...

Public Perceptions of AI in Medicine and Implications for Future Medical Education: Cross-Sectional Survey.

BACKGROUND: The integration of artificial intelligence (AI) into clinical practice is contingent on public trust. This trust often depends on physicia...

Implementation and User Evaluation of an On-Premise Large Language Model in a German University Hospital Setting: Cross-Sectional Survey.

BACKGROUND: Large language models (LLMs) are increasingly used by employees at university hospitals for information retrieval or decision support. Sel...